LLM stands for "Large Language Model." It's a type of artificial intelligence model trained on vast amounts of text data to understand and generate human-like text. These models, like GPT-4, can perform various tasks, such as answering questions, generating content, translating languages, and more, by leveraging patterns learned from the data they were trained on.

Retrieval-augmented generation (RAG) is a technique that enables large language models (LLMs) to retrieve and incorporate new information.[1] With RAG, LLMs do not respond to user queries until they refer to a specified set of documents. These documents supplement information from the LLM's pre-existing training data.